The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-15"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4542347 (up from 4442163 yesterday: 2.26 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "307666 (up from 302418 yesterday: 1.74 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.77



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1442824 25050 1.77 87530 1632 1.90 6.07
Russia 262843 10598 4.20 2418 113 4.90 0.92
United Kingdom 238004 3564 1.52 34078 385 1.14 14.32
Spain 230183 643 0.28 27459 138 0.51 11.93
Italy 223885 789 0.35 31610 242 0.77 14.12
Brazil 220291 17126 8.43 14962 963 6.88 6.79
France 179630 636 0.36 27532 104 0.38 15.33
Germany 175233 755 0.43 7897 13 0.16 4.51
Turkey 146457 1708 1.18 4055 48 1.20 2.77
Iran 116635 2102 1.84 6902 48 0.70 5.92
India 85784 3787 4.62 2753 104 3.93 3.21
Peru 84495 3891 4.83 2392 125 5.51 2.83
China 84038 9 0.01 4637 0 0.00 5.52
Canada 75959 1178 1.58 5679 87 1.56 7.48
Belgium 54644 356 0.66 8959 56 0.63 16.40
Saudi Arabia 49176 2307 4.92 292 9 3.18 0.59
Mexico 45032 2437 5.72 4767 290 6.48 10.59
Netherlands 43880 200 0.46 5662 53 0.94 12.90
Chile 39542 2502 6.75 394 26 7.07 1.00
Pakistan 38799 3011 8.41 834 64 8.31 2.15
Ecuador 31467 965 3.16 2594 256 10.95 8.24
Switzerland 30514 51 0.17 1878 6 0.32 6.15
Qatar 29425 1153 4.08 14 0 0.00 0.05
Sweden 29207 625 2.19 3646 117 3.32 12.48
Portugal 28583 264 0.93 1190 6 0.51 4.16
Belarus 27730 958 3.58 156 5 3.31 0.56
Singapore 26891 793 3.04 21 0 0.00 0.08
Ireland 23956 129 0.54 1518 12 0.80 6.34
United Arab Emirates 21831 747 3.54 210 2 0.96 0.96
Bangladesh 20065 1202 6.37 298 15 5.30 1.49
Poland 18016 401 2.28 907 24 2.72 5.03
Ukraine 17330 483 2.87 476 20 4.39 2.75
Israel 16589 10 0.06 266 1 0.38 1.60
Indonesia 16496 490 3.06 1076 33 3.16 6.52
Romania 16437 190 1.17 1070 17 1.61 6.51
Japan 16203 83 0.51 713 16 2.30 4.40
Austria 16109 51 0.32 628 2 0.32 3.90
Colombia 14216 606 4.45 546 21 4.00 3.84
South Africa 13524 785 6.16 247 9 3.78 1.83
Kuwait 12860 885 7.39 96 8 9.09 0.75
Philippines 12091 215 1.81 806 16 2.03 6.67
Dominican Republic 11739 419 3.70 424 2 0.47 3.61
Egypt 11228 399 3.68 592 21 3.68 5.27
Korea, South 11037 19 0.17 262 2 0.77 2.37
Denmark 10989 78 0.71 537 0 0.00 4.89
Serbia 10438 64 0.62 225 1 0.45 2.16
Panama 9268 150 1.65 266 6 2.31 2.87
Czechia 8406 55 0.66 295 2 0.68 3.51
Norway 8219 23 0.28 232 0 0.00 2.82
Argentina 7479 345 4.84 356 3 0.85 4.76
Australia 7035 16 0.23 98 0 0.00 1.39
Malaysia 6855 36 0.53 112 0 0.00 1.63
Morocco 6652 45 0.68 190 0 0.00 2.86
Algeria 6629 187 2.90 536 7 1.32 8.09
Bahrain 6583 385 6.21 12 2 20.00 0.18
Finland 6228 83 1.35 293 6 2.09 4.70
Afghanistan 6053 414 7.34 153 17 12.50 2.53
Moldova 5745 192 3.46 202 8 4.12 3.52
Kazakhstan 5689 118 2.12 34 2 6.25 0.60
Ghana 5638 108 1.95 28 4 16.67 0.50
Nigeria 5450 288 5.58 171 4 2.40 3.14
Oman 4625 284 6.54 20 2 11.11 0.43
Armenia 4044 184 4.77 52 3 6.12 1.29
Luxembourg 3923 8 0.20 104 1 0.97 2.65
Bolivia 3577 205 6.08 164 12 7.89 4.58
Hungary 3417 37 1.09 442 6 1.38 12.94
Iraq 3193 50 1.59 117 2 1.74 3.66
Cameroon 3105 151 5.11 140 1 0.72 4.51
Thailand 3025 7 0.23 56 0 0.00 1.85
Azerbaijan 2980 101 3.51 36 1 2.86 1.21
Greece 2810 40 1.44 160 4 2.56 5.69
Uzbekistan 2686 41 1.55 11 0 0.00 0.41
Guinea 2473 0 0.00 15 0 0.00 0.61
Honduras 2460 142 6.13 134 1 0.75 5.45
Senegal 2310 121 5.53 25 2 8.70 1.08
Bosnia and Herzegovina 2236 18 0.81 128 6 4.92 5.72
Croatia 2222 1 0.05 95 1 1.06 4.28
Bulgaria 2138 38 1.81 102 3 3.03 4.77
Cote d’Ivoire 2017 46 2.33 24 0 0.00 1.19
Sudan 1964 146 8.03 91 1 1.11 4.63
Cuba 1840 10 0.55 79 0 0.00 4.29
Iceland 1802 0 0.00 10 0 0.00 0.55
Estonia 1766 8 0.46 63 1 1.61 3.57
North Macedonia 1740 17 0.99 97 2 2.11 5.57
Guatemala 1643 125 8.23 30 1 3.45 1.83
Lithuania 1523 12 0.79 54 0 0.00 3.55
New Zealand 1498 0 0.00 21 0 0.00 1.40
Slovakia 1480 3 0.20 27 0 0.00 1.82
Slovenia 1465 1 0.07 103 0 0.00 7.03
Djibouti 1309 25 1.95 4 1 33.33 0.31
Congo (Kinshasa) 1298 56 4.51 50 0 0.00 3.85
Somalia 1284 0 0.00 53 0 0.00 4.13
El Salvador 1210 98 8.81 25 2 8.70 2.07
Gabon 1209 105 9.51 10 0 0.00 0.83
Tajikistan 1118 211 23.26 33 4 13.79 2.95
Kyrgyzstan 1111 29 2.68 14 2 16.67 1.26
Tunisia 1035 3 0.29 45 0 0.00 4.35
Maldives 1031 49 4.99 4 0 0.00 0.39

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 345813 2762 0.81 27878 237 0.86 8.06 17776.33 1433.05 1 in 56
New Jersey 143984 1280 0.90 10148 202 2.03 7.05 16210.42 1142.51 1 in 62
Illinois 90369 2432 2.77 4059 131 3.34 4.49 7131.49 320.32 1 in 140
Massachusetts 83421 1239 1.51 5592 110 2.01 6.70 12003.88 804.66 1 in 83
California 76693 1822 2.43 3136 84 2.75 4.09 1940.99 79.37 1 in 515
Pennsylvania 64136 1031 1.63 4422 134 3.12 6.89 5009.85 345.42 1 in 200
Michigan 50079 497 1.00 4825 38 0.79 9.63 5014.49 483.13 1 in 199
Texas 45721 1241 2.79 1280 45 3.64 2.80 1576.81 44.14 1 in 634
Florida 44138 928 2.15 1917 42 2.24 4.34 2055.06 89.26 1 in 487
Maryland 36986 1083 3.02 1911 45 2.41 5.17 6117.76 316.09 1 in 163
Georgia 36772 795 2.21 1588 43 2.78 4.32 3463.36 149.57 1 in 289
Connecticut 36085 621 1.75 3285 66 2.05 9.10 10121.20 921.38 1 in 99
Louisiana 33837 348 1.04 2448 31 1.28 7.23 7278.66 526.59 1 in 137
Virginia 28672 859 3.09 978 22 2.30 3.41 3359.14 114.58 1 in 298
Ohio 26954 597 2.27 1581 47 3.06 5.87 2305.91 135.25 1 in 434
Indiana 26656 603 2.31 1691 45 2.73 6.34 3959.47 251.18 1 in 253
Colorado 21232 394 1.89 1150 64 5.89 5.42 3686.92 199.70 1 in 271
Washington 17951 178 1.00 991 8 0.81 5.52 2357.35 130.14 1 in 424
North Carolina 17494 526 3.10 667 26 4.06 3.81 1667.99 63.60 1 in 600
Tennessee 16960 261 1.56 290 3 1.05 1.71 2482.01 42.44 1 in 403
Minnesota 14240 805 5.99 692 20 2.98 4.86 2524.99 122.70 1 in 396
Iowa 14049 374 2.73 336 18 5.66 2.39 4452.83 106.50 1 in 225
Arizona 13169 495 3.91 651 27 4.33 4.94 1729.37 85.49 1 in 578
Rhode Island 12219 203 1.69 479 11 2.35 3.92 11534.31 452.16 1 in 87
Wisconsin 11685 410 3.64 445 11 2.53 3.81 2006.89 76.43 1 in 498
Alabama 11373 272 2.45 483 10 2.11 4.25 2319.51 98.51 1 in 431
Mississippi 10801 318 3.03 493 13 2.71 4.56 3629.19 165.65 1 in 276
Missouri 10766 172 1.62 581 15 2.65 5.40 1754.15 94.67 1 in 570
Nebraska 9610 350 3.78 113 10 9.71 1.18 4967.93 58.42 1 in 201
South Carolina 8407 218 2.66 380 9 2.43 4.52 1632.83 73.80 1 in 612
Kansas 7886 181 2.35 193 4 2.12 2.45 2706.88 66.25 1 in 369
Kentucky 7444 219 3.03 332 4 1.22 4.46 1666.19 74.31 1 in 600
Delaware 7373 150 2.08 271 11 4.23 3.68 7571.65 278.30 1 in 132
Utah 6913 164 2.43 77 2 2.67 1.11 2156.30 24.02 1 in 464
District of Columbia 6871 135 2.00 368 10 2.79 5.36 9735.76 521.43 1 in 103
Nevada 6733 229 3.52 343 10 3.00 5.09 2185.93 111.36 1 in 457
New Mexico 5662 159 2.89 253 11 4.55 4.47 2700.27 120.66 1 in 370
Oklahoma 5087 124 2.50 285 1 0.35 5.60 1285.58 72.02 1 in 778
Arkansas 4463 97 2.22 98 0 0.00 2.20 1478.88 32.47 1 in 676
South Dakota 3887 95 2.51 44 1 2.33 1.13 4393.78 49.74 1 in 228
Oregon 3541 62 1.78 137 0 0.00 3.87 839.55 32.48 1 in 1191
New Hampshire 3453 71 2.10 151 0 0.00 4.37 2539.51 111.05 1 in 394
Puerto Rico 2542 115 4.74 122 5 4.27 4.80 795.94 38.20 1 in 1256
Idaho 2351 0 0.00 72 0 0.00 3.06 1311.89 40.18 1 in 762
North Dakota 1761 49 2.86 42 2 5.00 2.39 2310.84 55.11 1 in 433
Maine 1603 38 2.43 69 0 0.00 4.30 1192.52 51.33 1 in 839
West Virginia 1447 20 1.40 64 4 6.67 4.42 809.67 35.81 1 in 1235
Vermont 933 1 0.11 53 0 0.00 5.68 1495.22 84.94 1 in 669
Wyoming 716 15 2.14 7 0 0.00 0.98 1237.13 12.09 1 in 808
Hawaii 638 1 0.16 17 0 0.00 2.66 450.61 12.01 1 in 2219
Montana 466 4 0.87 16 0 0.00 3.43 436.01 14.97 1 in 2294
Alaska 388 5 1.31 10 0 0.00 2.58 530.38 13.67 1 in 1885

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1338048 345813 25.84 68781.65
New Jersey 462972 143984 31.10 52123.63
Illinois 538602 90369 16.78 42503.91
Massachusetts 435679 83421 19.15 62692.11
California 1133906 76693 6.76 28697.60
Pennsylvania 319832 64136 20.05 24982.99
Michigan 357496 50079 14.01 35796.65
Texas 645992 45721 7.08 22278.75
Florida 608837 44138 7.25 28347.35
Maryland 182826 36986 20.23 30240.77
Georgia 301874 36772 12.18 28431.95
Connecticut 155908 36085 23.15 43729.44
Louisiana 253189 33837 13.36 54463.37
Virginia 178014 28672 16.11 20855.67
Ohio 246182 26954 10.95 21060.82
Indiana 165448 26656 16.11 24575.55
Colorado 118030 21232 17.99 20495.82
Washington 267931 17951 6.70 35185.13
North Carolina 231547 17494 7.56 22077.15
Tennessee 309756 16960 5.48 45331.20
Minnesota 134669 14240 10.57 23879.04
Iowa 93566 14049 15.02 29655.76
Arizona 142001 13169 9.27 18647.80
Rhode Island 104978 12219 11.64 99095.59
Wisconsin 140342 11685 8.33 24103.67
Alabama 146063 11373 7.79 29789.41
Mississippi 106823 10801 10.11 35893.03
Missouri 134458 10766 8.01 21907.87
Nebraska 57215 9610 16.80 29577.52
South Carolina 109616 8407 7.67 21289.98
Kansas 61592 7886 12.80 21141.56
Kentucky 121278 7444 6.14 27145.68
Delaware 38278 7373 19.26 39309.32
Utah 163218 6913 4.24 50910.84
District of Columbia 34339 6871 20.01 48656.11
Nevada 72146 6733 9.33 23422.84
New Mexico 119601 5662 4.73 57038.99
Oklahoma 118192 5087 4.30 29869.31
Arkansas 81529 4463 5.47 27015.81
South Dakota 27414 3887 14.18 30988.21
Oregon 89506 3541 3.96 21221.33
New Hampshire 42612 3453 8.10 31339.01
Puerto Rico 2542 2542 100.00 795.94
Idaho 34745 2351 6.77 19388.25
North Dakota 51715 1761 3.41 67861.93
Maine 23695 1603 6.77 17627.43
West Virginia 70936 1447 2.04 39692.31
Vermont 23205 933 4.02 37188.16
Wyoming 16022 716 4.47 27683.37
Hawaii 38776 638 1.65 27386.66
Montana 25418 466 1.83 23782.30
Alaska 32418 388 1.20 44314.43

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 29100 1576 5.73 6564 22.56 21468 1068 49 4.81 3.67
Tamil Nadu 10108 434 4.49 2599 25.71 7438 71 5 7.58 0.70
Gujarat 9932 340 3.54 4035 40.63 5291 606 20 3.41 6.10
Delhi 8895 425 5.02 3518 39.55 5254 123 8 6.96 1.38
Rajasthan 4747 158 3.44 2729 57.49 1893 125 0 0.00 2.63
Madhya Pradesh 4595 169 3.82 2283 49.68 2073 239 2 0.84 5.20
Uttar Pradesh 4057 155 3.97 2165 53.36 1797 95 7 7.95 2.34
West Bengal 2461 84 3.53 829 33.69 1407 225 10 4.65 9.14
Andhra Pradesh 2307 102 4.63 1252 54.27 1007 48 0 0.00 2.08
Punjab 1932 -3 -0.16 305 15.79 1595 32 0 0.00 1.66
Telangana 1454 40 2.83 959 65.96 461 34 0 0.00 2.34
Karnataka 1056 69 6.99 480 45.45 539 36 1 2.86 3.41
Bihar 1033 34 3.40 453 43.85 573 7 0 0.00 0.68
Jammu and Kashmir 1013 30 3.05 513 50.64 489 11 0 0.00 1.09
Haryana 854 36 4.40 464 54.33 377 13 2 18.18 1.52
Odisha 672 0 0.00 166 24.70 503 3 0 0.00 0.45
Kerala 577 16 2.85 493 85.44 80 4 0 0.00 0.69
Jharkhand 211 8 3.94 97 45.97 111 3 0 0.00 1.42
Chandigarh 191 0 0.00 40 20.94 148 3 0 0.00 1.57
Tripura 156 0 0.00 42 26.92 114 0 0 NaN 0.00
Assam 90 3 3.45 41 45.56 46 2 0 0.00 2.22
Uttarakhand 82 4 5.13 51 62.20 30 1 0 0.00 1.22
Himachal Pradesh 75 1 1.35 35 46.67 34 3 0 0.00 4.00
Chhattisgarh 66 6 10.00 56 84.85 10 0 0 NaN 0.00
Ladakh 43 0 0.00 24 55.81 19 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Puducherry 16 0 0.00 9 56.25 7 0 0 NaN 0.00
Goa 15 0 0.00 7 46.67 8 0 0 NaN 0.00
Meghalaya 13 0 0.00 11 84.62 1 1 0 0.00 7.69
Manipur 3 0 0.00 2 66.67 1 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 550405 84119 299 0.36 15.28 4705 276 27746 15411 18.32
Piemonte 239507 29346 137 0.47 12.25 1593 108 11113 3557 12.12
Emilia-Romagna 253497 27110 54 0.20 10.69 763 114 6001 3943 14.54
Veneto 484639 18889 44 0.23 3.90 311 24 4439 1762 9.33
Toscana 197365 9883 24 0.24 5.01 238 67 3168 976 9.88
Liguria 76012 9060 65 0.72 11.92 385 31 2603 1336 14.75
Lazio 197599 7364 73 1.00 3.73 1173 79 4088 604 8.20
Marche 84351 6619 16 0.24 7.85 178 18 2795 977 14.76
Campania 131544 4654 15 0.32 3.54 341 17 1736 396 8.51
Puglia 87687 4366 9 0.21 4.98 285 23 2181 461 10.56
P.A. Trento 63700 4318 3 0.07 6.78 53 9 406 451 10.44
Sicilia 112929 3374 8 0.24 2.99 198 11 1760 263 7.79
Friuli Venezia Giulia 100400 3175 14 0.44 3.16 80 3 741 318 10.02
Abruzzo 54028 3148 12 0.38 5.83 205 6 1454 381 12.10
P.A. Bolzano 52939 2578 0 0.00 4.87 50 5 359 290 11.25
Umbria 53801 1422 2 0.14 2.64 25 2 90 73 5.13
Sardegna 39844 1348 3 0.22 3.38 75 10 461 125 9.27
Valle d’Aosta 11413 1172 6 0.51 10.27 37 0 77 142 12.12
Calabria 52701 1144 1 0.09 2.17 56 2 505 95 8.30
Molise 10468 407 4 0.99 3.89 8 2 227 22 5.41
Basilicata 20851 389 0 0.00 1.87 33 1 120 27 6.94

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 41429 697 1.71 3402 50 1.49 8.21 4852.49 398.47 1 in 206
Ontario 23258 393 1.72 1939 24 1.25 8.34 1580.90 131.80 1 in 633
Alberta 6515 58 0.90 125 4 3.31 1.92 1476.27 28.32 1 in 677
British Columbia 2407 15 0.63 140 5 3.70 5.82 470.95 27.39 1 in 2123
Nova Scotia 1034 8 0.78 55 4 7.84 5.32 1057.85 56.27 1 in 945
Saskatchewan 590 8 1.37 7 0 0.00 1.19 499.30 5.92 1 in 2003
Manitoba 289 0 0.00 7 0 0.00 2.42 209.80 5.08 1 in 4766
Newfoundland and Labrador 260 -1 -0.38 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1052 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 665 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 209 1 0.48
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 169 6 3.55
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Jilin 140 1 0.71
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4409.61 267.51 1 in 227
Russia 1818.98 16.73 1 in 550
United Kingdom 3582.24 512.91 1 in 279
Spain 4933.20 588.49 1 in 203
Italy 3701.80 522.65 1 in 270
Brazil 1052.51 71.49 1 in 950
France 2681.44 410.99 1 in 373
Germany 2116.60 95.39 1 in 472
Turkey 1812.36 50.18 1 in 552
Iran 1437.10 85.04 1 in 696
India 64.07 2.06 1 in 15609
Peru 2626.52 74.35 1 in 381
China 60.63 3.35 1 in 16493
Canada 2020.72 151.08 1 in 495
Belgium 4793.33 785.88 1 in 209
Saudi Arabia 1492.90 8.86 1 in 670
Mexico 348.54 36.90 1 in 2869
Netherlands 2554.13 329.57 1 in 392
Chile 2190.69 21.83 1 in 456
Pakistan 196.95 4.23 1 in 5077

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 190357 20476 10.76
Cook Illinois 59905 2762 4.61
Nassau New York 38864 2027 5.22
Suffolk New York 37719 1709 4.53
Los Angeles California 36316 1753 4.83
Westchester New York 31943 1269 3.97
Philadelphia Pennsylvania 19349 1021 5.28
Wayne Michigan 18882 2192 11.61
Middlesex Massachusetts 18683 1347 7.21
Hudson New Jersey 18048 1042 5.77
Bergen New Jersey 17195 1443 8.39
Essex New Jersey 16103 1520 9.44
Suffolk Massachusetts 15996 768 4.80
Miami-Dade Florida 15011 548 3.65
Passaic New Jersey 14930 816 5.47
Union New Jersey 14492 939 6.48
Middlesex New Jersey 14429 865 5.99
Fairfield Connecticut 14009 1109 7.92
Rockland New York 12637 602 4.76
Essex Massachusetts 12131 751 6.19
Prince George’s Maryland 10791 413 3.83
New Haven Connecticut 9881 783 7.92
Orange New York 9825 408 4.15
Providence Rhode Island 9112 0 0.00
Harris Texas 9050 193 2.13
Worcester Massachusetts 8786 538 6.12
Hartford Connecticut 8126 1025 12.61
Marion Indiana 7995 465 5.82
Oakland Michigan 7994 896 11.21
Ocean New Jersey 7829 610 7.79
Montgomery Maryland 7759 449 5.79
Norfolk Massachusetts 7331 710 9.68
King Washington 7325 521 7.11
Monmouth New Jersey 7224 495 6.85
Fairfax Virginia 7159 273 3.81
Dallas Texas 7036 164 2.33
Jefferson Louisiana 6897 424 6.15
Plymouth Massachusetts 6875 444 6.46
District of Columbia District of Columbia 6871 368 5.36
Maricopa Arizona 6821 302 4.43
Orleans Louisiana 6787 489 7.20
Macomb Michigan 6274 729 11.62
Lake Illinois 6157 207 3.36
Broward Florida 6133 272 4.44
Morris New Jersey 5990 550 9.18
Montgomery Pennsylvania 5697 608 10.67
Mercer New Jersey 5673 386 6.80
DuPage Illinois 5634 287 5.09
Riverside California 5618 242 4.31
Bristol Massachusetts 5590 303 5.42

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc